Membership Inference Attacks and Generalization: A Causal Perspective

18 September 2022

Papers citing "Membership Inference Attacks and Generalization: A Causal Perspective"

36 / 36 papers shown

Title
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 79 2 0 20 Oct 2023
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks Fatemehsadat Mireshghallah Kartik Goyal Archit Uniyal Taylor Berg-Kirkpatrick Reza Shokri MIALM 52 163 0 08 Mar 2022
Membership Inference Attacks Against Recommender Systems Minxing Zhang Zhaochun Ren Zihan Wang Pengjie Ren Zhumin Chen Pengfei Hu Yang Zhang MIACV AAML 66 86 0 16 Sep 2021
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning Hongbin Liu Jinyuan Jia Wenjie Qu Neil Zhenqiang Gong 34 96 0 25 Aug 2021
Node-Level Membership Inference Attacks Against Graph Neural Networks Xinlei He Rui Wen Yixin Wu Michael Backes Yun Shen Yang Zhang 108 97 0 10 Feb 2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Yugeng Liu Rui Wen Xinlei He A. Salem Zhikun Zhang Michael Backes Emiliano De Cristofaro Mario Fritz Yang Zhang AAML 60 132 0 04 Feb 2021
Practical Blind Membership Inference Attack via Differential Comparisons Bo Hui Yuchen Yang Haolin Yuan Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao MIACV 153 121 0 05 Jan 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 486 1,917 0 14 Dec 2020
RealCause: Realistic Causal Inference Benchmarking Brady Neal Chin-Wei Huang Sunand Raghupathi CML ELM 45 33 0 30 Nov 2020
DoWhy: An End-to-End Library for Causal Inference Amit Sharma Emre Kıcıman CML 64 166 0 09 Nov 2020
Membership Leakage in Label-Only Exposures Zheng Li Yang Zhang 70 245 0 30 Jul 2020
Label-Only Membership Inference Attacks Christopher A. Choquette-Choo Florian Tramèr Nicholas Carlini Nicolas Papernot MIACV MIALM 90 511 0 28 Jul 2020
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning S. K. Murakonda Reza Shokri 40 75 0 18 Jul 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 341 371 0 24 Mar 2020
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks Zitong Yang Yaodong Yu Chong You Jacob Steinhardt Yi-An Ma 65 186 0 26 Feb 2020
Analyzing Information Leakage of Updates to Natural Language Models Santiago Zanella Béguelin Lukas Wutschitz Shruti Tople Victor Rühle Andrew Paverd O. Ohrimenko Boris Köpf Marc Brockschmidt ELM MIACV FedML PILM KELM 50 125 0 17 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Alleviating Privacy Attacks via Causal Learning Shruti Tople Amit Sharma A. Nori MIACV OOD 54 32 0 27 Sep 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 64 390 0 23 Sep 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference Alexandre Sablayrolles Matthijs Douze Yann Ollivier Cordelia Schmid Hervé Jégou MIACV 64 366 0 29 Aug 2019
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference Klas Leino Matt Fredrikson MIACV 89 271 0 27 Jun 2019
Privacy Risks of Securing Machine Learning Models against Adversarial Examples Liwei Song Reza Shokri Prateek Mittal SILM MIACV AAML 42 241 0 24 May 2019
A Modern Take on the Bias-Variance Tradeoff in Neural Networks Brady Neal Sarthak Mittal A. Baratin Vinayak Tantia Matthew Scicluna Simon Lacoste-Julien Ioannis Mitliagkas 80 167 0 19 Oct 2018
Predicting the Generalization Gap in Deep Networks with Margin Distributions Yiding Jiang Dilip Krishnan H. Mobahi Samy Bengio UQCV 88 199 0 28 Sep 2018
Machine Learning with Membership Privacy using Adversarial Regularization Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV 47 471 0 16 Jul 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A. Salem Yang Zhang Mathias Humbert Pascal Berrang Mario Fritz Michael Backes MIACV MIALM 93 948 0 04 Jun 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos D. Song 134 1,141 0 22 Feb 2018
Understanding Membership Inferences on Well-Generalized Learning Models Yunhui Long Vincent Bindschaedler Lei Wang Diyue Bu Xiaofeng Wang Haixu Tang Carl A. Gunter Kai Chen MIALM MIACV 55 224 0 13 Feb 2018
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 246 4,122 0 18 Oct 2016
Learning Causal Graphs with Small Interventions Karthikeyan Shanmugam Murat Kocaoglu A. Dimakis S. Vishwanath CML 96 106 0 30 Oct 2015
Data Analysis with Bayesian Networks: A Bootstrap Approach N. Friedman M. Goldszmidt A. Wyner TPM 86 377 0 23 Jan 2013
Pearl's Calculus of Intervention Is Complete Yimin Huang Marco Valtorta CML 85 232 0 27 Jun 2012
On Identifying Total Effects in the Presence of Latent Variables and Selection bias Zhihong Cai Manabu Kuroki CML 81 47 0 13 Jun 2012
On a Class of Bias-Amplifying Variables that Endanger Effect Estimates Judea Pearl CML 70 179 0 15 Mar 2012
On Identifying Significant Edges in Graphical Models of Molecular Networks M. Scutari R. Nagarajan 133 174 0 05 Apr 2011
Learning Bayesian Networks with the bnlearn R Package M. Scutari BDL 161 1,733 0 26 Aug 2009